Forest Ecology and Management 256 (2008) 246–255
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Review
Fire resistance of European pines Paulo M. Fernandes a,*, Jose´ A. Vega b, Enrique Jime´nez b, Eric Rigolot c a Centro de Investigac¸a˜o e de Tecnologias Agro-Ambientais e Tecnolo´gicas and Departamento Florestal, Universidade de Tra´s-os-Montes e Alto Douro, Apartado 1013, 5001-801 Vila Real, Portugal b Centro de Investigacio´n e Informacio´n Ambiental de Galicia, Consellerı´a de Medio Ambiente e Desenvolvemento Sostible, Xunta de Galicia, P.O. Box 127, 36080 Pontevedra, Spain c INRA, UR 629 Mediterranean Forest Ecology Research Unit, Domaine Saint Paul, Site Agroparc, 84914 Avignon Cedex 9, France
A R T I C L E I N F O
A B S T R A C T
Article history: Received 8 January 2008 Received in revised form 13 April 2008 Accepted 14 April 2008
Pine resistance to low- to moderate-intensity fire arises from traits (namely related to tissue insulation from heat) that enable tree survival. Predictive models of the likelihood of tree mortality after fire are quite valuable to assist decision-making after wildfire and to plan prescribed burning. Data and models pertaining to the survival of European pines following fire are reviewed. The type and quality of the current information on fire resistance of the various European species is quite variable. Data from lowintensity fire experiments or regimes is comparatively abundant for Pinus pinaster and Pinus sylvestris, while tree survival after wildfire has been modelled for Pinus pinea and Pinus halepensis. P. pinaster and P. pinea, and Pinus canariensis in special, are better equipped to survive fire, but low-intensity fire is tolerated even by species often referred to as fire-sensitive (P. halepensis and Pinus radiata). The relative fire resistance of European pine species is assessed on the basis of (i) morphological and experimental data, and (ii) mortality modelling that considers fire behaviour. Limitations of these approaches to rate fire resistance are discussed, and the current knowledge gaps are indicated. ß 2008 Elsevier B.V. All rights reserved.
Keywords: Fire ecology Fire regime Pinus Prescribed burning Surface fire Tree mortality
Contents 1. 2.
3. 4.
Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Fire survival data and models for European pine species . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.1. Pinus halepensis and Pinus brutia . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.2. Pinus radiata . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.3. Pinus pinea . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.4. Pinus pinaster . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.5. Pinus canariensis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.6. Pinus nigra . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.7. Pinus sylvestris . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The relative fire resistance of European pine species. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
246 247 247 248 248 249 249 249 249 251 253 253 253
1. Introduction
* Corresponding author. Tel.: +351 259350885; fax: +351 259350480. E-mail address:
[email protected] (P.M. Fernandes). 0378-1127/$ – see front matter ß 2008 Elsevier B.V. All rights reserved. doi:10.1016/j.foreco.2008.04.032
Disturbance by wildland fire plays a prominent role in the ecology of pine ecosystems. Pine strategies to cope with fire can assist either species persistence (by sexual reproduction) or individual survival (Keeley and Zedler, 1998). Agee (1998) combined the fire severity concept with life-history characteristics
P.M. Fernandes et al. / Forest Ecology and Management 256 (2008) 246–255
(Rowe, 1983) to categorize and describe the range of plant responses in fire-prone environments. Pines under a low-severity fire regime are typically fire resisters, possessing traits that enable survival to low- to moderate-intensity fire: tissue insulation from lethal temperature provided by thick bark, large and protected buds, relatively thick needles, deep rooting habit, and a crown structure favourable to heat dissipation and hence less crown scorch. Self-pruning and lower branch shedding due to competition or fire contribute to crown fire avoidance. High-severity fire regimes are characterized by stand-replacement events, and the corresponding pine species are fire evaders that store a canopy seed bank in serotinous cones, or fire endurers that recover after the disturbance by sprouting. Moderate or mixed-severity (Brown, 2000) fire regimes correspond to diverse or combined fire response strategies. Tree mortality can directly arise from various amounts of firecaused injury to crown (foliage and buds), vascular or root tissues, either solely or in combination. Tree size can exert an important influence on the likelihood of tree death after fire. Larger trees should be able to survive more intense fires (Ryan and Reinhardt, 1988; Beverly and Martell, 2003; Kobziar et al., 2006) mainly because of thicker bark and higher position of the foliage. Tree mortality modelling combines morphological descriptors of the trees with fire damage measurements, indirectly by considering variables related to fire behaviour or directly by observing tissue damage (Fowler and Sieg, 2004). Because tree mortality is a binary variable (trees either live or die) it is well suited to be modelled as a probability by using logistic regression analysis. The extent of crown scorch, crown consumption, or both, is included as an independent variable in most tree mortality models, in relation either to crown volume (Ryan et al., 1988; McHugh and Kolb, 2003) or to crown length (Wyant et al., 1986). The height, percentage or severity of bole charring are often adopted as model surrogates for cambium death (Ryan, 1982; Sieg et al., 2006). Fire characteristics such as fire intensity (Beverly and Martell, 2003; Kobziar et al., 2006) or forest floor consumption (Stephens and Finney, 2002; Varner et al., 2007) are less often employed as tree mortality predictors. Pines are an important component of European forest vegetation, especially in nutrient-limited or disturbed habitats (Richardson and Rundel, 1998). The biogeography of the 13 species of native European pines is described in Barbe´ro et al. (1998) and Willis et al. (1998), respectively for the Mediterranean Basin and for the rest of Europe. Southern Europe pines can be divided in lowto mid-elevation species occurring predominantly along the coast and in islands (Pinus halepensis Mill., Pinus brutia Ten., Pinus pinea L., Pinus pinaster Ait., Pinus canariensis C. Sm.), mountain species (Pinus nigra Arn., Pinus sylvestris L.) and high-mountain species (Pinus heldreichii H. Christ, Pinus uncinata Ram.). P. sylvestris is widespread in northern and central Europe, but all other extraMediterranean pines are confined to high elevations (Pinus cembra L., Pinus mugo Turra, Pinus peuce Grisb., Pinus sibirica Du Tour). The present distribution and composition of pine forests in the Mediterranean Basin has been shaped by large-scale plantation and invasion of former agricultural land (Le Maitre, 1998), as well as by human-altered fire regimes (Richardson et al., 2007). Dense, even-aged, highly flammable stands have developed over extensive areas and burn in landscape-scale fire events (Pausas et al., 2004; Fernandes and Rigolot, 2007). Furthermore, the ability to persist after fire is threatened by increased fire recurrence and burn severity, respectively in lowland (P. halepensis, P. brutia, P. pinaster) and in montane (P. nigra, P. sylvestris) pine woodlands (Pausas et al., in press). Predictive models of tree survival after fire can assist managers in making post-fire management decisions related to hazard tree
247
removal, salvage logging, reforestation, wildlife habitat and watershed quality (Brown et al., 2003). Also, knowledge on tree resistance to low- to moderate-intensity fire is critical to the sound use of fire in forest management. However, and in spite of its potential contribution to management decisions conducive to more resilient pine forests, research on fire resistance and postburn mortality has been limited in Europe, presumably because of the prevalence of stand-replacement fire and the incipient development of prescribed burning. Several authors (Agee, 1998; Keeley and Zedler, 1998; Climent et al., 2004; Tapias et al., 2004; Fernandes and Rigolot, 2007) describe the fire-related traits, strategies or fire regimes of European pines, including explicit comparisons with other pine species. Here we will focus on the resistance of European Pinus to fire, by reviewing the existing quantitative knowledge on the ability to survive fire, and then rating the fire resistance of each species. 2. Fire survival data and models for European pine species 2.1. Pinus halepensis and Pinus brutia P. halepensis is a typical fire evader that forms highly flammable stands and as a rule is killed by wildfire (Agee, 1998; Ne’eman et al., 2004). This possibly explains the scarcity of literature on the fire resistance of P. halepensis (and of the closely related P. brutia) versus the wealth of post-fire regeneration studies. The first experimentation with prescribed burning in the Mediterranean Basin was conducted by Liacos (1974) in P. halepensis and P. brutia in Greece. The author considered these species amenable to treatment with prescribed fire at an age of 30 years – when bark accumulation is sufficient to hamper cambium injury – and went on to develop an underburning prescription (Liacos, 1986), thereby showing how to minimize fire-induced tree mortality. Aravanopoulos et al. (2004) refers to a surface wildfire in Greece that did not result in P. brutia mortality. In NE Spain after a wildfire of varying severity in a stand (DBH = 10.2 7.5 cm; basal area = 21.6 m2 ha1) composed of 20-year-old regeneration plus trees that had survived the previous fire, P. halepensis individuals with more than 20% of green foliage were alive less than 1 year after the fire (Pausas et al., 2003). In a naturally regenerated and open P. halepensis stand in SE France, Trabaud and Valina (1998) describe tree mortality 1 year after a surface wildfire ranging in flame height from 0.5 to 2.5 m. Fire damage descriptors were not measured but tree survival increased with size: all individuals with less than 5 cm ground line diameter died; 37% and 66% of the trees were alive in the 5–25 and 25–45 cm size classes, respectively; the survival rate in relation to tree height was 70% for trees with 7–10 m and 83% for trees taller than 10 m. Ducrey et al. (1996) studied for a 7-month period the ecophysiological and growth consequences of trunk girdling by controlled heating. Cambium damage from 37% to 78% of the stem’s circumference did not result in tree death, and no significant differences were found between partially burnt trees and control trees for the several parameters that were monitored. In Italy, Lovreglio et al. (1999) studied and modelled the first post-fire year mortality of P. halepensis trees in three stands, respectively 15, 48 and 50 years old. Tree density and basal area varied in the ranges of 226–1500 ha1 and 8.4–31.4 m2 ha1, while individual tree DBH and bark thickness ranged from 7 to 46 cm and from 0.3 to 5 mm, respectively. The modelled likelihood of survival to fire was a combined function of stem char height (range: 0–6 m) and the % of crown length scorched (0–100%). P. halepensis mortality was also modelled by Rigolot (2004), in a more extensive study in southern France where trees were
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P.M. Fernandes et al. / Forest Ecology and Management 256 (2008) 246–255
Table 1 Selected logistic models for the probability of post-fire tree mortality of European pine species Species (reference)
Model variables and coefficients b0
Pinus halepensis (Rigolot, 2004)
Pinus pinaster (Botelho et al., 1998a)
Pinus pinea (Rigolot, 2004)
Pinus sylvestris (Sidoroff et al., 2007)
b2x2
b3x3
2.500 2.322
b1x1 0.035 CSV 0.0004 CF
0.057 BC 0.112 DBH
1.649 BCmax
7.390 7.533
10.119 CSV 10.662 RCS
0.381 DBH 0.264 DBH
23.006 23.971 33.086
0.253 CSV 0.236 CSV 0.312 CSV
1.520 3.325
19.075 CSR 18.675 CSR
0.055 CSL 1.941 BC 0.287 DBH 3.307 BT
All models have the form P = [1 + exp(b0 + b1x1 + + bkxk)]1. BC, bark char class (Ryan, 1983), 4 quadrants mean; BCmax, maximum bark char class; BT, bark thickness (cm); CF, crown factor (CSV2); CSL, charred stem length (m), mean of the windward and leeward sides; CSR, charred stem ratio; CSV, observed proportion of crown scorch volume; DBH, diameter at breast height (cm); RCS, crown scorch ratio.
monitored for 3–5 years after wildfire. Tree dimensions varied in the ranges of 2.7–49.5 cm for DBH and 3.0–18.5 m for height and the survival rate was 31%. The visual estimation of crown scorch volume, used directly or squared (crown factor), varied in the sampled trees from nil to total, and was the most important variable in explaining the likelihood of mortality (Table 1). 2.2. Pinus radiata Although P. radiata D. Don. is a North-American species it is planted extensively in northern Spain and England. Based on fire scar and stand structure analysis, Stephens et al. (2004) argue that although usually described as a fire evader, P. radiata also has characteristics of a fire resister and the native populations of the species are best classified in a mixed-severity fire regime. Stephens and Libby (2006) report that Californian P. radiata populations historically subjected to low-intensity anthropogenic fire have thicker bark than populations that did not. Most of the fire resistance information on P. radiata comes in fact from prescribed fire experimentation in the extensive plantations established in Australia. Luke and McArthur (1978) state that P. radiata is more vulnerable to fire than Pinus elliotti, Pinus caribaea and P. pinaster. Although Dawson (1982) described the species as ‘very fire sensitive’ and complained that it cannot be subjected to broad-scale hazard reduction burning, this assertion seems conservative in view of the knowledge currently available. Woodman and Rawson (1982) summarize the results and conclusions of several Australian studies. Trees that after prescribed burning were scorched in more than half of the crown length reduced their diameter increment by 59% (dominant trees) and 38% (co-dominant trees) in comparison with unscorched individuals. Stem damage is restricted to small sections of trees with DBH <21 cm or bark thickness <2.5 mm and does not impact the merchantable wood volume. Low intensity wildfire (flame height <1 m but with a high-residence time) caused fire scars up to a height of 7 m and stem girdling between 22% and 46% of the circumference at stump height. Some effort has been devoted to quantify fire damage to the trunk of P. radiata, which is more likely than in P. pinaster (de Ronde, 1982). Thomson (1978) found bole damage in 0.6% of the sampled trees, for a stand age range of 11–26 years and prescribed fires under 300 kW m1 of fireline intensity. In mature trees, Burrows et al. (1989) considered stem damage unacceptable when cambium kill occurred above a 0.5-m height; the observed range of bole damage was 0–30% but it reached 60% in the presence of unusual woody fuel accumulation, in all cases without consequences to radial tree growth. Thinning slash burning with flame
height <1.5 m (Billing, 1979) or fireline intensity <500 kW m1 (Burrows et al., 1988) did not result in noticeable injury to the bole. Norman (1985) describes a stronger impact in stands prescribed burnt after heavy first thinning, with ca. 10% of the trees exhibiting cracks in the bark and resin exudation due to irregular fuel distribution and hence extended flame residence time (up to 4 min). Burrows et al. (1989) report the effects of low-intensity (28– 170 kW m1) prescribed fires in P. radiata regeneration (up to 15m tall) underneath a mature stand of the species in Australia. 90% of the individuals taller than 1 m died when crown scorch ratio (height of crown scorch/total tree height) exceeded 0.8, but 88% survived when it was less than 0.6. In South Africa, mortality caused by prescribed burning is expected only when crown scorch reaches 90% (de Ronde, 1982). 2.3. Pinus pinea Survival of P. pinea to fire is quite variable, but the existing data points to higher fire resistance in relation to the remaining Mediterranean Basin pines. Rodrigo et al. (2007) report a 0–100% range in individual tree survival in plots located in areas burned by high-intensity fire. Live trees were absent from 38% of the plots, while the survival rate exceeded 60% in 27% of the plots. The tree survival rate in plots located in areas affected by highintensity fire within a 6125 ha wildfire in Catalonia, Spain, was 13% for P. pinea, but zero for P. pinaster (Rodrigo et al., 2004). Catry et al. (2006) in CW Portugal also report higher second year post-fire survival rate for P. pinea (36%) than for P. pinaster (10%). Gonza´lez et al. (2007) studied tree survival to fire in the forests of Catalonia based on National Forest Inventory data from permanent plots. The data base included the pine species P. sylvestris, P. pinea, P. halepensis, P. nigra and P. pinaster (Table 2) and was used to develop a multi-species model for predicting the probability of a single tree surviving a fire event. The use of the model for a given tree size and Table 2 Observed pine survival in National Forest Inventory plots burned by wildfires in Catalonia, Spain (Gonza´lez et al., 2007)a Dominant species
Live trees proportion
Mean live trees proportion (stand level)
P. halepensis Pinus nigra P. pinaster P. pinea P. sylvestris
0.50 0.67 0.55 0.92 0.74
0.55 0.58 0.60 0.82 0.68
a
Data from 722 plots that burned between the inventories of 1989 and 2001.
P.M. Fernandes et al. / Forest Ecology and Management 256 (2008) 246–255
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stand structure estimates that P. pinea is almost four times more likely to survive a fire than the other pines. Gonza´lez et al. (2007) reckon that an important part of the explanation for this degree of fire resistance – almost as high as for the resprouting Quercus suber – should be ascribed to the intensity of fuel management in P. pinea plantations. The results are quite representative of the fire regime and relative tree survival but unfortunately, and due to its nature, the database lacks descriptors of fire injury and burn severity. Rigolot (2004) studied P. pinea mortality after wildfire in southern France. Tree dimensions varied in the ranges of 5.7– 58.1 cm for DBH and 2.8–17.4 m for height and the survival rate was 0.61. Crown scorch volume, which varied in the sample from nil to total, was the variable that best explained mortality likelihood 3–5 years after wildfire (Table 1). According to Ryan et al. (1994) the species should be more fire resistant than P. halepensis owing to thicker bark for a given stem diameter and consequently improved stem insulation from heat. Also, P. pinea needle sensitivity to heat is less due to lower surface area-tovolume ratio: for a given exposure time P. halepensis needles are characterized by lower lethal temperature than P. pinea needles (Pageaud, 1991). In mixed stands of P. halepensis and P. pinea the former exhibited crown scorch heights 1–5 m higher (Rigolot, 2004). According to the author this is explained by the less vulnerable needles of P. pinea and a crown architecture that offers increased protection of the upper crown from the heat flux. Height of crown kill and height of crown scorch are similar in P. halepensis, while in P. pinea crown scorch height often is higher than height of crown kill: buds can withstand heating below the crown scorch line, which means the scorched crown will recover partially and greenup the spring following fire (Pageaud, 1991).
until 25–50% of crown length is scorched, but in NW Spain high levels of mortality have been related to excessive duff consumption alone (Vega, 1988), and delayed mortality by the fungus Leptographium sp. after slash pile burning has also been reported in the same region (Ferna´ndez de Ana, 1982). Bark beetles can also be an important factor in delayed mortality of P. pinaster trees surviving wildfires (Ferna´ndez and Salgado, 1999).
2.4. Pinus pinaster
2.6. Pinus nigra
A relatively substantial amount of information is available on the resistance of P. pinaster to fire, from European, south-African and Australian sources. The available data (17 studies are synthesised in Table 3) and models are however biased towards low-intensity burning, reflecting the prevalence of a prescribed burning framework to the studies. Keeley and Zedler (1998) associate P. pinaster, as well as P. sylvestris, to a stand-replacement fire regime, but this narrow view has been expanded and detailed by Fernandes and Rigolot (2007). P. pinaster stands historically subjected to surface fire (Tapias et al., 2004) with abundance of fire-scarred live trees (Vega, 2000) have been identified in Spain. Development and coexistence of firerelated traits, namely bark thickness, is highly variable between P. pinaster populations, which is quite obvious from Tapias et al. (2004) data. Nevertheless, bark depth can be generically classified as moderate to high and, regardless of fire intensity, mortality caused by bole injury is unlikely unless trees have DBH <20 cm or heat from extended smouldering girdles the stem base. The threshold size for tree mortality in experiments emulating prescribed fire is usually in the 5–10 cm DBH range (Table 3). A longer exposure to a given temperature is required for P. pinaster needle necrosis in comparison with P. pinea and P. halepensis. Comparison of the models developed by Botelho et al. (1998a) for P. pinaster and by Rigolot (2004) for P. pinea (Table 1) indicates the two species have similar chances of surviving a given level of crown scorch, even though the underlying data were collected in quite different situations, respectively dormant season prescribed burning and summer wildfire. The large buds of P. pinaster, shielded by scales and by long needles, should be an important part of the explanation of why trees can endure very high levels of defoliation. Tree growth is not impaired noticeably
˜ ez et al. (2005) studied P. nigra survival after a 15,300 ha Ordo´n wildfire in NE Spain. Individuals located in areas that experienced less severe fire (on green islands and near unburned edges) were monitored for 5 years. Three visually estimated crown scorch volume classes were used to describe crown damage. Survival rates of 55%, 64% and 85% were observed, respectively for small (DBH <10 cm), medium (10–20 cm DBH) and large (DBH >20 cm) trees. Almost all trees were alive when the extent of scorch was less than one-third of crown volume, while survival percentages of >80% and >60% corresponded to 1/3 to 2/3 and >2/3 of crown scorch volume, respectively. Similar results were obtained by Rigolot (data on file) in a study of P. nigra mortality after a winter wildfire in a mid-high elevation (1500 m) mixed P. nigra–P. sylvestris stand in the French Southern Alps. Tree size varied in a range of 13.2–40.1 cm for DBH and 8.0– 19.0 m for height. Three years after fire, survival was total when the extent of scorch was less than 2/3, and 91% for crown scorch higher than 2/3. Pimont and Rigolot (2005) observed in Corsica, France, that P. nigra is more vulnerable to fire than P. pinaster, especially at higher fire intensities. However, the species is able to persist through a surface fire regime over several centuries, as testified by a relict and multi-aged forest in eastern Spain (Fule´ et al., 2008).
2.5. Pinus canariensis P. canariensis survives fire by sprouting from epicormic and root collar buds after total scorch and even crown combustion (Ceballos ˜ o, 1951), which is explained by the huge accumulation of and Ortun reserve carbohydrates in the sapwood parenchyma cells (Climent et al., 1998). Most of the features that are associated to fire resistance – thick bark, long needles, large buds, tall growth habit, self-pruning, deep rooting and longevity (Climent et al., 2004) – are also well-developed in the species. Quantitative information on the capability of P. canariensis to resist fire is very scarce. Without reporting data, de Ronde (1982) and Climent et al. (2004) indicate near total survival to fire. Thickbarked populations in the Canary Islands experience more frequent and intense fires, whereas thin-barked provenances correspond to open stands with sparse understory in drier climate that experience surface fires (Climent et al., 2004). The unusual combination of resistance and recovery to fire of the species is clearly shown in Are´valo et al. (2001). Three and a half years after a wildfire, differences in pine canopy cover between an unburnt control and areas burned by a surface fire and by a crown fire were respectively 3% and 20% (windward site), and 6% and 10% (leeward site).
2.7. Pinus sylvestris P. sylvestris is classified by Agee (1998) in the moderate-severity fire regime, which is coherent with the wide geographical distribution and environmental variation under which the species can be found. Granstro¨m (2001) categorizes P. sylvestris trees as moderately fire resistant and able to survive several low-intensity
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Table 3 A summary of data from studies on the post-fire mortality and growth of P. pinaster Reference, location, time since fire
Stand age
Peet and McCormick (1971), SW Australia, 2 years
DBH (cm), height (m)
Season or month of fire
Fireline intensity (kW m1)
13–23, –
Winter
32, 38
Crown scorch ratio
Mortality (%), DBH threshold (cm)
Mortality by size class
Effect on diameter growth
=
McCormick (1976), SW Australia, 3 years
17
–, 12.8
0.50–0.75
# (2 years)
McCormick (1976), SW Australia, 5 years
38
–, 14.0
0.5 m green tip
# (3 years)
1.5 m green tip 3 m green tip
# (3 years) =
9–11
4.7, –
March
60–170
41, –
<5 cm = 52%, 5–10 cm = 15%
0.5b to >0.9
de Ronde (1983), S Africa, 2 years Rego (1986), N Portugal, 2–6 years
27–60
18.3–31.4, –
Autumn, spring
Rego et al. (1988), N Portugal, n.a.
20
2–27, –
February
Vega (1988), NW Spain, 7 years Duff reduction <25%c Duff reduction 25–50%
–
Rego et al. (1993), N Portugal, 2 years
30 and 33
14.6–20.6, 13.1–17.3
Botelho et al. (1998a), N and C Portugal, 2 years
10–18
Botelho et al. (1998b, 1998c), N Portugal, 3 years
# (2 years)
0.8–2 m (flame height)
=
–, 10
2.5 cm = 50%, 7.5 cm = 16%
=
March–April 92–309d 88–372d
0–0.34 0–0.19
0–7,e – 15–80,e –
# (n = 1), = (n = 5) # (n = 4), = (n = 2)
December
50–101
0
0, –
=
2.9–12.3, 2.7–10.1
November –March
85–854
0.17–0.81
1.5–59.1, 15
18 and 20
2.7–17.2, 2.9–9.2
February
44–2369f
0.43 (0–1)f
20, 7
Silva (1997), N Portugal, n.a.
10
3.6–16.0, –
Vega et al. (1998), NW Spain, 2 years
17 and 19
9.2–39.6, 5.8–15.5
Burrows et al. (2000), SW Australia, 3 months
30–44
22.5–51.3, 16.2–23.3
17.3–27.0, 10.7–16.5 21.0–23.0, 12.0–13.2
0, –
Summer (December)
92–5443
0–0.84
0, –
1500–18,000
0.06–0.95
7–91,g – 0–46,h –
Rigolot (2000), SE France, 1 year
15
3.3, 4
March May
20–51 21
0.36–0.40 0.84
<1–43, 3 80, 6
Fernandes (2002), N Portugal, 2 years
14–41
11–26, 6.1–18.3
November –June
32–3608
0–0.91
0–68, 3–17
Fernandes et al. (2004), N Portugal, 1 year
28
12.3 and 13.4; 10.1 and 9.1
July
399 and 931
0.88 and 0.94
41 and 55, –
a b c d e f g h
Scattered pines (4% of the basal area) in a Eucalyptus globulus stand. Described by the author as ‘heavily scorched’. Forest floor F and H layers. Estimated from crown scorch height or stem char height. Not significantly different from unburned paired plots. Tree-level variation. Induced by damage to crown. Induced by stem girdling (350 kW m1).
<2.5 cm = 75%, 5 cm = 24%, 10 cm = 4%, 15 cm = 1%
" (scorch <25%), # (scorch >25%)
=
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Vega (1978),a NW Spain, 5 months
P.M. Fernandes et al. / Forest Ecology and Management 256 (2008) 246–255
fires. Angelstam and Kuuluvainen (2004) describe P. sylvestris forest in boreal Europe dry sites as being park-like and adapted to frequent low-intensity fire that results in multi-aged stands, and state that the species is more tolerant to fire as it ages, due to increased bark thickness and crown base height. Old and thickbarked trees usually survive fire, although fire scars are common as a result of cambium damage at the base of the trunk (Parviainen, 1996). In the presence of heavy slash fuels a 16-mm bark depth was enough to decrease cambium damage to ca. 5% (Sire´n, 1974). Fire history studies reveal varying fire frequency in Fennoscandia, but low-severity fires were largely prevalent over stand replacement events. The presence of fire-scarred live trees provides evidence of the survival of P. sylvestris to surface fire, in Latvia (Brumelis et al., 2005), SE Norway (Groven and Niklasson, 2005), boreal Sweden (Hellberg et al., 2004), southern Finland (Wallenius et al., 2002), and NW Russia (Lehtonen and Kolstro¨m, 2000). Several studies on P. sylvestris post-burn mortality highlight the importance of tree size to withstand surface fire. A survival rate of 20% after wildfire, shifted towards larger trees, is reported by Kolstro¨m and Kelloma¨ki (1993). In a 43-year-old stand in Germany, Schmidt et al. (2004) have observed mortality in the smaller diameter individuals and equated the effect of a lowintensity surface fire to a thinning from below. Bruce and Servant (2003) report on experiments in mature stands in Scotland: more than half of the crown was scorched in 18% of the trees but no mortality was observed 1 year after the fires. Wirth et al. (1999) worked in central Siberia and found that fire killed all trees (DBH <10 cm) in a 18-year-old patch, but none of the individuals in a contiguous 235-year-old stand (DBH range of 10–50 cm). In a 39-year-old stand the number of live trees exceeded the number of dead trees only for Trees 6-m high and taller, and the fire had a strong thinning effect, reducing stand density by 86%. Surviving fire-scarred individuals were significantly lower in diameter than unaffected trees 31 years after fire, indicating growth suppression by the fire. Wirth et al. (1999) conclude that trees younger than 20 years are killed by any fire, selective mortality occurs in 20–100-year-old stands without modifying stand structure, and tree survival is near total in stands older than 100 years. Somewhat different results were obtained by the FIRESCAN Science Team (1996) in the Bor Forest Island, also in central Siberia, owing to the different nature of the event, a stand-replacement large-scale fire experiment. Tree survival was almost nil over 82% of the area. In a surface fire affected stand (mean DBH = 15 cm), 75% of the individuals died in the first post-fire year, and nearly all trees with DBH <12 cm were completely scorched and died, but survival in the 20–24 cm DBH class was above 85%. Additional mortality was expected, given the high level of insect infestation among the surviving trees. In northern Sweden Linder et al. (1998) studied the mortality induced to a multi-aged stand by a prescribed fire that generally did not exceed a fireline intensity of 700 kW m1. Mortality was strongly size-dependent among the smaller individuals, decreasing from almost 100% (DBH <2 cm) to ca. 20% (DBH 10–12 cm). For larger trees mortality decreased until a minimum of 1.5% in the 40– 50 cm DBH class, but trees with DBH 50 cm suffered a 20% mortality rate, due to burn out of open scars from past fires. Sidoroff et al. (2007) modelled P. sylvestris mortality with data from 11 even-aged plantations from southern Finland, with ranges of 30–45 years for stand age, 588–2200 ha1 for tree density, 11– 20 m for dominant height, 11–23 cm for DBH, 0.4–1.2 cm for bark thickness, and 0.5–1.3 m for flame height. Small-sized trees were far more affected 1 year after fire, with a 70% mortality rate in the 5–7 cm class but 20% only in the 7–9 cm class. Survival was very
251
high beyond a DBH of 15 cm, a height of 13 m and a bark thickness of 0.6 cm, as well as below a charred stem ratio of 0.12. Mortality was associated to higher levels of burn severity in the forest floor. The authors present models for the probability of tree mortality that combine charred stem ratio with DBH or with bark thickness (Table 1). Crown damage and apparent root damage were almost non-existent and thus stem damage was assumed as the cause of mortality. In the Mediterranean context, P. sylvestris post-fire mortality was monitored by Rigolot (data on file) after a winter fire in a midhigh elevation (1500 m) mixed P. nigra–P. sylvestris stand in southern France. Tree dimensions varied in a range of 13.0– 42.0 cm for DBH and 7.7–19.6 m for height. Three years after fire, survival was total when the extent of scorch was less than 2/3 and survival was 70% when crown scorch was >2/3. Detailed analysis showed a similar fire resistance of both species after this specific fire event. 3. The relative fire resistance of European pine species Based on the available information we now propose a fire resistance rating for the European species of Pinus (Fig. 1). The classification is almost entirely derived from quantitative data (see the sources in Fig. 1 legend), thus minimizing subjective judgement, and combines the likelihoods of cambium kill and crown kill. Resistance to cambium kill was a function of normalized bark thickness, which was calculated as the percentage of tree radius occupied by bark (at 1.3 m). Resistance to crown kill reflects bud tolerance to heating (inferred from bud width), bud shielding from heat provided by needles, and time-temperature thresholds for needle and bud necrosis. For P. pinea two ratings were produced, respectively pinea 1 and pinea 2 in Fig. 1. Pinea 2 accommodates the canopy architecture effect mentioned by Rigolot (2004) and is consistent with the empirical observations previously mentioned (Rodrigo et al., 2004; Catry et al., 2006; Gonza´lez et al., 2007). The fire resistance rating in Fig. 1 is not capable of identifying and combining the relative contribution of crown and cambium kill to tree mortality. Empirical models for the likelihood of pine survival or death should result in a sounder classification of
Fig. 1. Fire resistance rating of European pine species, based on morphological traits and lethal heating experiments. Information sources: de Ronde (1982), Alexandrian and Rigolot (1992), Duhoux (1994), Ryan et al. (1994), Keeley and Zedler (1998), Jackson et al. (1999), Burrows et al. (2000), Rigolot (2004), and Tapias et al. (2004).
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Table 4 Application to European pines of the conifer mortality model of Peterson and Ryan (1986) Species
Cambium kill
Pm
BT (cm)
tc
TL (8C)
hk (m)
ck
(min)
0.074 0.140 0.150 0.182 0.200
0.6 1.1 1.1 1.4 1.5
0.9 3.2 3.7 5.4 6.5
60 60 60 65 60
6.9 6.9 6.9 6.1 6.9
0.97 0.97 0.97 0.91 0.97
0.99 0.93 0.92 0.64 0.85
0.200 0.245
1.5 1.8
6.5 9.8
70 70
5.4 5.4
0.84 0.84
0.35 0.20
NBT
Pinus uncinata Pinus radiata P. sylvestris P. nigra P. halepensis /P. brutia P. pinea P. pinaster
Crown kill
NBT, normalized bark thickness, the ratio of bark thickness to stem radius; BT, bark thickness; tc, critical time for cambium kill; TL, lethal bud kill temperature; hk, height of crown kill; ck, fraction of crown volume killed; Pm, probability of tree mortality. Fireline intensity, tree diameter, height and crown length, and ambient air temperature, were kept constant, respectively at 400 kW m1, 15 cm, 8 m, 6.5 m, and 25 8C to calculate Pm.
resistance to fire, but are not available for all species and are not directly comparable (see Table 1). Recent advances in the physical understanding of thermal injury (Bova and Dickinson, 2005; Michaletz and Johnson, 2006a) did not materialize in convenient models. A feasible alternative is the conceptual approach of Peterson and Ryan (1986) to fire-induced conifer mortality, which calculates the probability of mortality from crown kill fraction (ck), critical time for cambium kill (tc) and duration of lethal bole heating (tL). Height of crown kill (hk), tree height and crown length determine ck, while the former is a function of fireline intensity, ambient air temperature (TA), wind speed and the temperature threshold for bud necrosis (TL). Bark thickness determines tc. The model of Peterson and Ryan (1986) integrates heat transfer principles and provides broad resolution estimates of post-fire mortality for a variety of conifers, and as such it can be generalized to distinguish fire resistance between species. A modelling scenario where equally sized trees of different species are exposed to the same low-intensity fire is better suited to differentiate fire resistance levels, because the inter-specific range in mortality probability will decrease as fire behaviour increases. Accordingly, we apply Peterson and Ryan’s model by setting fireline intensity to 400 kW m1 and tL to 1 min, which corresponds to a mild surface fire where glowing combustion and the consumption of coarse woody fuels are insignificant. The calculation of hk is for TA = 25 8C and with Eq. (10) in van Wagner (1973), i.e. excluding the effect of wind speed on crown scorch height. Tree diameter, height and crown length are fixed, respectively at 15 cm, 8 m and 6.5 m for all species. As a consequence, variation in the probability of mortality among species is exclusively determined by bark thickness and TL (60, 65 or 70 8C), which were compiled or inferred from de Ronde (1982), Alexandrian and Rigolot (1992), Ryan et al. (1994), Keeley and Zedler (1998), Jackson et al. (1999), Burrows et al. (2000) and Tapias et al. (2004). Table 4 presents the data and results of applying the model of Peterson and Ryan (1986) to European pines, this time excluding P. canariensis because of its resprouting habit, while Fig. 2 displays the full spectrum of mortality likelihood as a function of fireline intensity. The fire resistance ranking of species that this modelling exercise produces is nearly the same as in Fig. 1. Both classifications of the fire resistance degree suffer from readily apparent limitations: 1. The insulating capacity of bark depends also of its structure, composition and density, although these variables influence is
Fig. 2. Probability of post-fire tree mortality for different European pines calculated as per Peterson and Ryan (1986) for a range of hypothetical fireline intensities. A 8m tall tree, with a crown length of 6.5 m and a diameter of 15 cm was assumed.
2.
3.
4. 5.
minor in comparison to bark thickness (Hengst and Dawson, 1994; van Mantgem and Schwarz, 2003). The possible range in tree size of each species, and thus the variations in bark thickness (dictating insulation) and in crown base height and total height (determining the distance from the heat source) is not considered. The variability in bark thickness along the length of the bole is also overlooked. The stem base often is proportionally more protected from thermal injury, i.e. the ratio of bark depth to stem radius decreases with height in the bole, namely in P. pinea and P. halepensis (Pageaud, 1991), P. pinaster and P. radiata (de Ronde, 1982), and P. nigra (Fernandes, data on file), especially in smaller trees, e.g. P. radiata (Jackson et al., 1999). The structural arrangement of canopy foliage affects heat transfer by convection (Michaletz and Johnson, 2006b). As in other approaches, the contributions to mortality of stem girdling by smouldering combustion and of root damage are ignored.
The fire environment – fuels, topography and weather – can easily override a fire resistance classification, thus minimizing the relevance of the above limitations, or, on the contrary, can emphasise the different species ability to resist fire. This implies that the proposed classification should not be dissociated from the fire environment context. A stand-replacement effect will result if a species deemed fire-resistant is affected by a high-intensity fire, whether the cause is crown scorch or combustion, long-lasting smouldering that completely girdles the stem base, or a combination of both. From the management point of view this emphasizes the importance of controlling fuels in stands of highly flammable species (P. pinaster, P. halepensis, P. radiata): if the available fuel load is reduced, the fire weather threshold for survival of a given size individual will increase and trees will tolerate fires under drier and windier conditions. The issue of fuel management will be less critical for species whose fuel complex and/or in-stand microclimate tend to create a milder fire environment, e.g. P. sylvestris. Apparently less defended species can therefore cope with fire better than would be expected from
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their degree of physical resistance (e.g. Table 2). Fire behaviour simulations for typical fire environment scenarios are useful to refine the fire resistance classification. Rodriguez-Trejo and Fule´ (2003) suggest basing fire management in pine stands upon a sitespecific and species-specific understanding of the ecological role of fire. 4. Conclusion The heterogeneity of fire severity in the landscape implies that fire damage to trees depends of complex interactions. Pine species and size obviously matter, but will be less relevant to individual survival as the fire environment increases in severity. In the end, the level of injury and mortality for a given pine species is a combined outcome of fire behaviour, tree size and stand structure. As a result, the fire resistance rating developed in this study is more useful and makes more sense for prescribed burning conditions and, more generally, for low- to moderate-intensity surface fires. Nevertheless, a fire resistance classification – especially if supported by sound models based on physical principles and better knowledge of the physiological response – enables comparison between species. Assessments of this type would hardly be achieved alone by the use of empirical data obtained after fire events. The existing data and studies indicate that all European pine species can resist fire, but their degree of resistance (the fire intensity they can tolerate) is variable. P. canariensis, P. pinea and P. pinaster are the most fire-resistant species, and even evader pines regarded as fire-sensitive like P. halepensis and P. radiata are able to survive low-intensity fire. Quantitative information on resistance to fire is absent from the literature for high-elevation pines. Our review also made evident the current knowledge gaps. Most studies are based on low-intensity fire experiments and their results reflect post-burn survival on the short-term. Moreover, many of them have been conducted out of the wildfire season and the physiological response, soil moisture content and subsequent root damage, and post-fire biotic interferences, can be very different from those occurring after wildfire. This imposes limitations on the scope of the currently available models of post-burn tree mortality/survival. Fire injury and burn severity quantitative data are scant for many species and not always available together with tree survival data, because some of the studies targeted other research objectives or were opportunistic. Finally, the interaction between fire and biotic agents of damage and mortality, fire effects on tree growth, and the role of fire recurrence are still largely unexplored subjects. Future experimentation should strive to consider as much as possible the physical and biological processes involved in fire injury and tree death in order to add generality to the developed models. Acknowledgments We thank the helpful comments and suggestions provided by Scott Stephens, Juli Pausas and two anonymous reviewers. The European Union supported this research through the FP6 Integrated Project ‘FIRE PARADOX’ (FP6-018505). References Agee, J.K., 1998. Fire and pine ecosystems. In: Richardson, D.M. (Ed.), Ecology and Biogeography of Pinus. Cambridge University Press, Cambridge, pp. 193–218. Alexandrian, D., Rigolot, E., 1992. Sensibilite´ du pin d’Alep a` l’incendie. Foreˆt Me´diterrane´enne 13, 185–198. Angelstam, P., Kuuluvainen, T., 2004. Boreal forest disturbance regimes, successional dynamics and landscape structures—a European perspective. Ecol. Bull. 51, 117–136.
253
Aravanopoulos, F., Panetsos, K., Skaltsoyiannes, A., 2004. Genetic structure of Pinus brutia stands exposed to wild fires. Plant Ecol. 171, 175–183. Are´valo, J., Ferna´ndez-Palacios, J., Jime´nez, M., Gil, P., 2001. The effect of fire intensity on the understorey species composition of two Pinus canariensis reforested stands in Tenerife (Canary Islands). For. Ecol. Manage. 148, 21–29. Barbe´ro, M., Loisel, R., Que´zel, P., Richardson, D.M., Romane, F., 1998. Pines of the Mediterranean Basin. In: Richardson, D.M. (Ed.), Ecology and Biogeography of Pinus. Cambridge University Press, Cambridge, pp. 153–170. Beverly, J.L., Martell, D.L., 2003. Modeling Pinus strobus mortality following prescribed fire in Quetico Provincial Park, northwestern Ontario. Can. J. For. Res. 33, 740–751. Billing, P.R., 1979. Using Fire to Reduce Fuel Accumulations after First Thinning in Radiata Pine Plantations. Department of Conservation and Environment, Fire Management Branch, Res. Rep. No. 4, Victoria. Botelho, H.S., Fernandes, P., Loureiro, C., 1998b. Growth response of maritime pine (Pinus pinaster) trees to high-intensity prescribed fires. In: Viegas, D.X. (Ed.), Proceedings of the 3rd International Conference on Forest Fire Research & 14th Fire and Forest Meteorology Conference ADAI. University of Coimbra, pp. 1863– 1873. Botelho, H., Fernandes, P., Ruas, L., 1998c. Modeling Pinus pinaster trees damage induced by up-slope wind-driven prescribed fires in Northern Portugal. In: Proceedings of the 13th Conference on Fire and Forest Meteorology. International Association of Wildland Fire, pp. 473–476. Botelho, H.S., Rego, F.C., Ryan, K.C., 1998a. Tree mortality models for Pinus pinaster of Northern Portugal. In: Proceedings of the 13th Conference on Fire and Forest Meteorology. International Association of Wildland Fire, pp. 235–240. Bova, A.S., Dickinson, M.B., 2005. Linking surface-fire behaviour, stem heating, and tissue necrosis. Can. J. For. Res. 35, 814–822. Brown, J.K., 2000. Introduction and fire regimes. In: Brown, J.K., Kapler, J. (Eds.), Wildland Fire in Ecosystems: Effects of Fire on Flora. RMRS-GTR-42-vol. 2. USDA Forest Service, Ogden, pp. 1–8. Brown, J.K., Reinhardt, E.D., Kramer, K.A., 2003. Coarse Woody Debris: Managing Benefits and Fire Hazard in the Recovering Forest. Gen. Tech. Rep. RMRS-GTR105. USDA For. Serv., Ogden. Bruce, M., Servant, G., 2003. Fire and pinewood ecology in Scotland: a summary of recent research at Glen Tanar Estate, Aberdeenshire. Scott. For. 57, 33–38. Brumelis, G., Elferts, D., Liepina, L., Luce, I., Tabors, G., Tjarve, D., 2005. Age and spatial structure of natural Pinus sylvestris stands in Latvia. Scand. J. For. Res. 20, 471–480. Burrows, N., Smith, R., Robinson, A., 1988. Prescribed Burning Slash Fuels in Pinus radiata Plantations in Western Australia. Department of Conservation and Land Management of Western Australia, Landnote 2/88, Perth. Burrows, N., Ward, B., Robinson, A., 2000. Behaviour and some impacts of a large wildfire in the Gnangara maritime pine (Pinus pinaster) plantation, Western Australia. CALMScience 3, 251–260. Burrows, N.D., Woods, Y.C., Ward, B.G., Robinson, A.D., 1989. Prescribing low intensity fire to kill wildings in Pinus radiata plantations in Western Australia. Aust. For. 52, 45–52. Catry, F., Rego, F., Bugalho, M., Lopes, T., Silva, J.S., Moreira, F., 2006. Effects of fire on tree survival and regeneration in a Mediterranean ecosystem. In: Viegas, D.X. (Ed.), Proceedings of the 5th International Conference on Forest Fire Research. Elsevier B.V., Amsterdam, CD-ROM. ˜ o, F., 1951. Vegetacio´n y flora forestal de las Canarias OccidenCeballos, L., Ortun tales. IFIE, Madrid. Climent, J., Gil, L., Pardos, J.A., 1998. Xylem anatomical traits related to resinous heartwood formation in Pinus canariensis Sm. Trees: Struct. Funct. 123, 139–145. Climent, J., Tapias, R., Pardos, J., Gil, L., 2004. Fire adaptations in the Canary Islands pine (Pinus canariensis). Plant Ecol. 171, 185–196. Dawson, M., 1982. High Intensity Fires in Plantations of Pinus radiata. Report to the Fire Research Working Group. Forestry Commission of New South Wales. de Ronde, C., 1982. The resistance of Pinus species to fire damage. South Afric. For. J. 122, 22–25. de Ronde, C., 1983. Controlled burning in pine stands in the Cape: the influence of crown scorch on tree growth and litterfall. South Afric. For. J. 123, 39–41. Ducrey, M., Duhoux, F., Huc, R., Rigolot, E., 1996. The ecophysiological and growth responses of Aleppo pine (Pinus halepensis) to controlled heating applied to the base of the trunk. Can. J. For. Res. 26, 1366–1374. Duhoux, F., 1994. Sensibilite´s de plusieurs espe`ces arbore´es me´diterraneennes aux stress thermiques et pre´diction de la mortalite´ apre`s incendie du pin d’Alep et du pin pignon. Me´moire de fin d’e´tudes. ETSIPA/INRA, Avignon. Fernandes, P., 2002. Desenvolvimento de relac¸o˜es preditivas para uso no planeamento de fogo controlado em povoamentos de Pinus pinaster Ait. PhD Thesis. UTAD, Vila Real. Fernandes, P.M., Loureiro, C., Botelho, H.S., 2004. Fire behaviour and severity in a maritime pine stand under differing fuel conditions. Ann. For. Sci. 61, 537–544. Fernandes, P., Rigolot, E., 2007. The fire ecology and management of maritime pine (Pinus pinaster Ait.). For. Ecol. Manage. 241, 1–13. Ferna´ndez, M.M., Salgado, J.M., 1999. Susceptibility of fire-damaged pine trees (Pinus pinaster and Pinus nigra) to attacks by Ips sexdentatus and Tomicus piniperda (Coleoptera: Scolytidae). Entomol. Gen. 24, 105–114. Ferna´ndez de Ana, F., 1982. Las hogueras en el monte provocan el ataque del hongo Leptographium galleciaea al P. pinaster. Bol. Serv. Def. Contra Plagas e Insp. Fitopatol. 8, 69–90. FIRESCAN Science Team, 1996. Fire in ecosystems of boreal Eurasia: the Bor forest island fire experiment, fire research campaign Asia-North (FIRESCAN). In:
254
P.M. Fernandes et al. / Forest Ecology and Management 256 (2008) 246–255
Levine, J.S. (Ed.), Biomass Burning and Global Change, vol. II. The MIT Press, Cambridge, MA, pp. 848–873. Fowler, J.F., Sieg, C.H., 2004. Postfire mortality of ponderosa pine and Douglas-fir: a review of methods to predict tree death. Gen. Tech. Rep. RMRS-GTR-132. USDA For. Serv., Ogden. Fule´, P.Z., Ribas, M., Gutie´rrez, E., Vallejo, R., Kaye, M., 2008. Forest structure and fire history in an old Pinus nigra forest, eastern Spain. For. Ecol. Manage. 255, 1234– 1242. Gonza´lez, J.R., Trasobares, A., Palia, M., Pukkala, T., 2007. Predicting stand damage and tree survival in burned forests in Catalonia (North-East Spain). Ann. For. Sci. 64, 733–742. Granstro¨em, A., 2001. Fire management for biodiversity in the European boreal forest. Scand. J. For. Res. Suppl. 3, 62–69. Groven, R., Niklasson, M., 2005. Anthropogenic impact on past and present fire regimes in a boreal forest landscape of southeastern Norway. Can. J. For. Res. 35, 2719–2726. Hellberg, E., Niklasson, M., Granstro¨m, A., 2004. Influence of landscape structure on patterns of forest fires in boreal forest landscapes in Sweden. Can. J. For. Res. 34, 332–338. Hengst, G.E., Dawson, J.O., 1994. Bark properties and fire resistance of selected tree species from the central hardwood region of North America. Can. J. For. Res. 24, 688–696. Jackson, J.F., Adams, D.C., Jackson, U.B., 1999. Allometry of constitutive defense: a model and a comparative test with tree bark and fire regime. Am. Nat. 153, 614– 632. Keeley, J.E., Zedler, P.H., 1998. Evolution of life histories in Pinus. In: Richardson, D.M. (Ed.), Ecology and Biogeography of Pinus. Cambridge University Press, Cambridge, pp. 219–250. Kobziar, L., Moghaddas, J., Stephens, S.L., 2006. Tree mortality patterns following prescribed fires in a mixed conifer forest. Can. J. For. Res. 36, 3222–3238. Kolstro¨m, T., Kelloma¨ki, S., 1993. Tree survival in wildfires. Silva Fennica 27, 277– 281. Lehtonen, H., Kolstro¨m, T., 2000. Forest fire history in Viena Karelia, Russia. Scand. J. For. Res. 15, 585–590. Le Maitre, D.C., 1998. Pines in cultivation: a global view. In: Richardson, D.M. (Ed.), Ecology and Biogeography of Pinus. Cambridge University Press, Cambridge, pp. 407–431. Liacos, L., 1974. Present studies and history of burning in Greece. In: Proceedings of the Annual Tall Timbers Fire Ecology Conference, Tall Timbers Research Station, Tallahassee, pp. 65–95. Liacos, L., 1986. Le pasturage et le feu prescrit, des outils efficaces dans l’ame´nagement des foreˆts me´diterrane´ennes du groupe pin d’Alep. CIHEAM–Options Mediterraneennes 86, 179–199. Linder, P., Jonsson, P., Niklasson, M., 1998. Tree mortality after prescribed burning in an old-growth Scots pine forest in northern Sweden. Silva Fennica 32, 339–349. Lovreglio, R., Fidanza, F., Leone, V., 1999. Un modello per la stima della sopravvivenza post-incendio in Pinus halepensis Mill. L’Italia Forestale e Montana 54, 178–190. Luke, R.H., McArthur, A.G., 1978. Bushfires in Australia. CSIRO Division of Forest Research, Australian Government Publishing Service, Canberra. McCormick, J., 1976. Recovery of Maritime Pine (Pinus pinaster) After Severe Crown Scorch. Res. Pap. No. 20. Forests Department of Western Australia, Perth. McHugh, C.W., Kolb, T.E., 2003. Ponderosa pine mortality following fire in northern Arizona. Int. J. Wildland Fire 12, 7–22. Michaletz, S.T., Johnson, E.A., 2006a. A heat transfer model of crown scorch in forest fires. Can. J. For. Res. 36, 2839–2851. Michaletz, S.T., Johnson, E.A., 2006b. Foliage influences forced convection heat transfer in conifer branches and buds. New Phytol. 170, 87–98. Ne’eman, G., Goubitz, S., Nathan, R., 2004. Reproductive traits of Pinus halepensis in the light of fire—a critical review. Plant Ecol. 171, 69–79. Norman, P., 1985. Fuel Management in Radiata Pine Following Heavy First Thinning. Department of Conservation and Environment, Fire Management Branch, Res. Rep. No. 24, Victoria. ˜ ez, J., Retana, J., Espelta, J., 2005. Effects of tree size, crown damage, and tree Ordo´n location on post-fire survival and cone production of Pinus nigra trees. For. Ecol. Manage. 206, 109–111. Pageaud, D., 1991. Reconstitution naturelle de peuplements resineux apre`s incendie (Pinus pinea L. & Pinus halepensis Mill.) INRA, Avignon. Parviainen, J., 1996. The impact of fire on Finnish forests in the past and today. In: Goldammer, J.G., Furyaev, V.V. (Eds.), Fire in Ecosystems of Boreal Eurasia. Kluwer Academic Publishers, Dordrecht, pp. 55–64. Pausas, J., Ouadah, N., Ferran, A., Gimeno, T., Vallejo, R., 2003. Fire severity and seedling establishment in Pinus halepensis woodlands, eastern Iberian Peninsula. Plant Ecol. 169, 205–213. Pausas, J.G., Blade, C., Valdecantos, A., Seva, J.P., Fuentes, D., Alloza, J.A., Vilagrosa, A., Bautista, S., Cortina, J., Vallejo, R., 2004. Pines and oaks in the restoration of Mediterranean landscapes of Spain: new perspectives for an old practice—a review. Plant Ecol. 171, 209–220. Pausas, J.G., Llovet, J., Rodrigo, A., Vallejo, R., in press. Are wildfires a disaster in the Mediterranean Basin? A review. Int. J. Wildland Fire. Peet, G.B., McCormick, J., 1971. Short-Term Responses from Controlled Burning and Intense Fires in the Forests of Western Australia. Bull. No. 79. Forests Department of Western Australia, Perth. Peterson, D.L., Ryan, K.C., 1986. Modeling postfire conifer mortality for long-range planning. Environ. Manage. 10, 797–808.
Pimont, F., Rigolot E., 2005. Comparison of post-fire mortality of Pinus nigra subsp laricio and Pinus pinaster. In: International Conference on Conservation, Regeneration and Restoration of Mediterranean Pines and their Ecosystems, MEDPINE 3. Rego, F.C., 1986. Effects of Prescribed Fire on Vegetation and Soil Properties in Pinus pinaster Forests of Northern Portugal. PhD Thesis. University of Idaho, Moscow. Rego, F., Botelho, H., Rigolot, E., Silva, J.M., 1988. Le feu controˆle´ au Portugal, le point sur le´tat actuel des recherches, les perspectives d’avenir. In: Proceedings of the International Workshop on Prescribed Burning. INRA, Avignon, pp. 61–74. Rego, F.C., Botelho, H.S., Fernandes, P., Ruas, L., 1993. Final Report of the EPOCH CT91-0040 project ‘Design and demonstration of a system for decision support in forest fires detection and prevention’. UTAD, Vila Real. Richardson, D.M., Rundel, P.W., 1998. Ecology and biogeography of Pinus: an introduction. In: Richardson, D.M. (Ed.), Ecology and Biogeography of Pinus. Cambridge University Press, Cambridge, pp. 3–46. Richardson, D.M., Rundel, P.W., Jackson, S.T., Teskey, R.O., Aronson, J., Bytnerowicz, A., Wingfield, M.J., Proches¸, S¸., 2007. Human impacts in pine forests: past, present, and future. Annu. Rev. Ecol. Evol. Syst. 38, 275–297. ˆ lage dirige´ en France: outil de gestion et recherches associe´es. Rigolot, E., 2000. Le bru In: Vega, J.A., Ve´lez, R. (Eds.), Actas de la Reunio´n sobre Quemas Prescritas. ˜ola de Ciencias Forestales 9, 165–178. Cuadernos de la Sociedade Espan Rigolot, E., 2004. Predicting postfire mortality of Pinus halepensis Mill. and Pinus pinea L. Plant Ecol. 171, 139–151. Rodrigo, A., Retana, J., Pico, F., 2004. Direct regeneration is not the only response of Mediterranean forests to large fires. Ecology 85, 716–729. Rodrigo, A., Quintana, V., Retana, J., 2007. Fire reduces Pinus pinea distribution in the northeastern Iberian Peninsula. Ecoscience 14, 23–30. Rodriguez-Trejo, D.A., Fule´, P.Z., 2003. Fire ecology of Mexican pines and a fire management proposal. Int. J. Wildland Fire 12, 23–37. Rowe, J.S., 1983. Concepts of fire effects on plant individual and species. In: Wein, R.W., MacLean, D.A. (Eds.), The Role of Fire in Northern Circumpolar Ecosystems. Wiley, New York, pp. 135–154. Ryan, K.C., 1982. Evaluating potential tree mortality from prescribed burning. In: Baugmartner, D.M. (Ed.), Site Preparation and Fuels Management on Steep Terrain. Washington State University Coop. Ext., Pullman, WA, pp. 169–179. Ryan, K.C., 1983. Techniques for assessing fire damage to trees. In: Lotan, J. (Comp.), Fire, its Field Effects. Intermountain Fire Council, Jackson, WY, pp. 1–11. Ryan, K.C., Peterson, D.L., Reinhardt, E.D., 1988. Modeling post-fire mortality in Douglas-fir. For. Sci. 34, 190–199. Ryan, K.C., Reinhardt, E.D., 1988. Predicting postfire mortality of seven western conifers. Can. J. For. Res. 18, 1291–1297. Ryan, K.C., Rigolot, E., Botelho, H., 1994. Comparative analysis of fire resistance and survival of Mediterranean and North-American conifers. In: Proceedings of the 12th Conference on Fire and Forest Meteorology, SAF Pub. 94-02. Society of American Foresters, Bethesda, pp. 701–708. Schmidt, V., Hille, M., von Gadow, K., 2004. Change of growth and structure of a pine stand after fire. Allgemeine Forst und Jagdzeitung 175, 78–82. Sidoroff, K., Kuuluvainen, T., Tanskanen, H., Vanha-Majamaa, I., 2007. Tree mortality after low-intensity prescribed fires in managed Pinus sylvestris stands in southern Finland. Scand. J. For. Res. 22, 2–12. Sieg, C.H., McMillin, J.D., Fowler, J.F., Allen, K.K., Negron, J.F., Wadleigh, L.L., Anhold, J.A., Gibson, K.E., 2006. Best predictors for postfire mortality of ponderosa pine trees in the Intermountain West. For. Sci. 52, 718–728. Silva, J.M., 1997. Historique des feux controˆle´s au Portugal. Foreˆt Me´diterrane´enne 18, 299–310. Sire´n, G., 1974. Some remarks on fire ecology in Finnish forestry. In: Proceedings of the Annual Tall Timbers Fire Ecology Conference, Tallahassee, Florida, pp. 191–209. Stephens, S.L., Piirto, D.D., Caramagno, D.F., 2004. Fire regimes and resultant forest ˜ o Nuevo Monterey pine (Pinus radiata) forest, Calistructure in the native An fornia. Am. Midl. Nat. 152, 25–36. Stephens, S.L., Finney, M.A., 2002. Prescribed fire mortality of Sierra Nevada mixed conifer tree species: effects of crown damage and forest floor combustion. For. Ecol. Manage. 162, 261–271. Stephens, S.L., Libby, W.J., 2006. Anthropogenic fire and bark thickness in coastal and island pine populations from Alta and Baja California. J. Biogeogr. 33, 648–652. Tapias, R., Climent, J., Pardos, J., Gil, L., 2004. Life histories of Mediterranean pines. Plant Ecol. 171, 53–68. Thomson, D.S., 1978. Low Intensity Prescribed Burning in Three Pinus radiata Stand Types. Res. Rep. No. 2. Department of Conservation and Environment, Fire Management Branch, Victoria. Trabaud, L., Valina, J., 1998. Importance of tree size in Pinus halepensis fire survival. In: Trabaud, L. (Ed.), Fire Management and Landscape Ecology. International Association of Wildland Fire, Farfield, pp. 189–196. van Mantgem, P., Schwarz, M., 2003. Bark heat resistance of small trees in Californian mixed conifer forests: testing some model assumptions. For. Ecol. Manage. 178, 341–352. van Wagner, C.E., 1973. Height of crown scorch in forest fires. Can. J. For. Res. 3, 373– 378. Varner, J.M., Hiers, J., Ottmar, R., Gordon, D., Putz, F., Wade, D., 2007. Overstory tree mortality resulting from reintroducing fire to long-unburned longleaf pine forests: the importance of duff moisture. Can. J. For. Res. 37, 1349–1358. Vega, J.A., 1978. Utilizacion del fuego controlado en las comunidades vegetales de Galicia. Bol. Estac. Central Ecol. 7, 3–19. Vega, J.A., 1988. Effects of prescribed fires on the growth of Pinus pinaster in Galicia, NW of Spain. In: Proceedings of the International Workshop on Prescribed Burning. INRA, Avignon, pp. 146a–146l.
P.M. Fernandes et al. / Forest Ecology and Management 256 (2008) 246–255 Vega, J.A., 2000. Resistencia vegetativa ante el fuego a trave´s de la historia de los incendios. In: Ve´lez, R. (Ed.), La Defensa Contra Incendios Forestales, Fundamentos y Experiencias. McGraw-Hill, Madrid, pp. 4.66– 4.85. ˜ as, P., Alonso, M., Fontu´rbel, M.T., Ferna´ndez, Vega, J.A., Pe´rez-Gorostiaga, P., Cuin C., Rozados, M., 1998. Temperature spatial patterns at trunk and crown of P. pinaster during prescribed burning. In: Viegas, D.X. (Ed.), Proceedings of the 3rd International Conference on Forest Fire Research & 14th Fire and Forest Meteorology Conference ADAI. University of Coimbra, pp. 831– 842. Wallenius, T., Kuuluvainen, T., Heikkila¨, R., Lindholm, T., 2002. Spatial tree age structure and fire history in two old-growth forests in Eastern Fennoscandia. Silva Fennica 36, 185–199.
255
Willis, K.J., Benneth, K.D., Birks, H.J., 1998. The late Quaternary dynamics of pines in Europe. In: Richardson, D.M. (Ed.), Ecology and Biogeography of Pinus. Cambridge University Press, Cambridge, pp. 107–121. Wirth, C., Schulze, E., Schulze, W., von Stu¨nzner-Karbe, D., Ziegler, W., Miljukova, I., Sogatche, A., Varlagin, A., Panvyorov, M., Grigoriev, S., Kusnetzova, W., Siry, M., Hardes, G., Zimmermann, R., Vygodskaya, N., 1999. Above-ground biomass and structure of pristine Siberian Scots pine forests as controlled by competition and fire. Oecologia 121, 66–80. Woodman, M., Rawson, R., 1982. Fuel Reduction Burning in Radiata Pine Plantations. Res. Rep. No. 14. Department of Conservation and Environment, Fire Management Branch, Victoria. Wyant, J.G., Omi, P.N., Laven, R.D., 1986. Fire induced tree mortality in a Colorado ponderosa pine/Douglas-fir stand. For. Sci. 32, 49–59.